2,065 research outputs found
Visualization According to Statisticians: An Interview Study on the Role of Visualization for Inferential Statistics
Statisticians are not only one of the earliest professional adopters of data
visualization, but also some of its most prolific users. Understanding how
these professionals utilize visual representations in their analytic process
may shed light on best practices for visual sensemaking. We present results
from an interview study involving 18 professional statisticians (19.7 years
average in the profession) on three aspects: (1) their use of visualization in
their daily analytic work; (2) their mental models of inferential statistical
processes; and (3) their design recommendations for how to best represent
statistical inferences. Interview sessions consisted of discussing inferential
statistics, eliciting participant sketches of suitable visual designs, and
finally, a design intervention with our proposed visual designs. We analyzed
interview transcripts using thematic analysis and open coding, deriving
thematic codes on statistical mindset, analytic process, and analytic toolkit.
The key findings for each aspect are as follows: (1) statisticians make
extensive use of visualization during all phases of their work (and not just
when reporting results); (2) their mental models of inferential methods tend to
be mostly visually based; and (3) many statisticians abhor dichotomous
thinking. The latter suggests that a multi-faceted visual display of
inferential statistics that includes a visual indicator of analytically
important effect sizes may help to balance the attributed epistemic power of
traditional statistical testing with an awareness of the uncertainty of
sensemaking.Comment: 16 pages, 8 tables, 3 figure
To P or not to P: on the evidential nature of P-values and their place in scientific inference
The customary use of P-values in scientific research has been attacked as
being ill-conceived, and the utility of P-values has been derided. This paper
reviews common misconceptions about P-values and their alleged deficits as
indices of experimental evidence and, using an empirical exploration of the
properties of P-values, documents the intimate relationship between P-values
and likelihood functions. It is shown that P-values quantify experimental
evidence not by their numerical value, but through the likelihood functions
that they index. Many arguments against the utility of P-values are refuted and
the conclusion is drawn that P-values are useful indices of experimental
evidence. The widespread use of P-values in scientific research is well
justified by the actual properties of P-values, but those properties need to be
more widely understood.Comment: 31 pages, 9 figures and R cod
Information Outlook, October 2003
Volume 7, Issue 10https://scholarworks.sjsu.edu/sla_io_2003/1009/thumbnail.jp
Legal Education for Certified Specialization
The purpose of this paper is to offer a partial solution to the public\u27s loss of confidence in lawyers, suggesting that by means of post-graduate education conducted under the auspices of the various law schools, professional specialization in the law will be encouraged through certification, with the end result that lawyers and the public will both benefit psychologically and economically
The Role of the Subjectivist Position in the Probabilization of Forensic Science
This paper is concerned with the contribution of forensic science to the legal process by helping reduce uncertainty. Although it is now widely accepted that uncertainty should be handled by probability because it is a safeguard against incoherent proceedings, there remain diverging and conflicting views on how probability ought to be interpreted. This is exemplified by the proposals in scientific literature that call for procedures of probability computation that are referred to as "objective," suggesting that scientists ought to use them in their reporting to recipients of expert information. I find such proposals objectionable. They need to be viewed cautiously, essentially because ensuing probabilistic statements can be perceived as making forensic science prescriptive. A motivating example from the context of forensic DNA analysis will be chosen to illustrate this. As a main point, it shall be argued that such constraining suggestions can be avoided by interpreting probability as a measure of personal belief, that is, subjective probability. Invoking references to foundational literature from mathematical statistics and philosophy of science, the discussion will explore the consequences of this interdisciplinary viewpoint for the practice of forensic expert reporting. It will be emphasized that-as an operational interpretation of probability-the subjectivist perspective enables forensic science to add value to the legal process, in particular by avoiding inferential impasses to which other interpretations of probability may lead. Moreover, understanding probability from a subjective perspective can encourage participants in the legal process to take on more responsibility in matters regarding the coherent handling of uncertainty. This would assure more balanced interactions at the interface between science and the law. This, in turn, provides support for ongoing developments that can be called the "probabilization" of forensic science
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